Vision-powered quality
Detect defects in real time with models trained on your own production images.
Predict failures, inspect quality with computer vision and optimize every line, on industrial-grade AI infrastructure that reaches from the cloud to the plant floor.
$600 in launch credit + 20M free inference tokens. No commitment.
Engineered for
Three outcomes that matter most, delivered on a backbone engineered for mission-critical work.
Detect defects in real time with models trained on your own production images.
Forecast equipment failures from sensor data before they stop the line.
Run inference near machines and train centrally, with secure links between plants.
Compute, models, data, security and billing on one fabric, so connected factories move from idea to production without stitching vendors together.
Workloads detect faults and reschedule onto healthy capacity automatically, with a sub-60s failover target, so connected factories stay online through hardware, zone or regional incidents.
CPU instances for data, retrieval, orchestration and memory-heavy services, plus B200 to RTX 4090 GPUs for training and heavy inference. Prepaid, live in minutes.
Production-ready open-source models behind an OpenAI-compatible API, with autoscaling built in.
Ask what is running, what it costs and how to fix it, in plain language.
Revenue routing and invoices for everything you sell through the platform.
Dedicated fabric, data residency and fully air-gapped regions for your most sensitive work, under the same control plane and the same APIs your teams already use.
Figures describe platform capabilities and service-level targets. Contracted commitments are set out in our Service Level Agreement.
Thirteen regions across six continents, linked by a private, encrypted fabric. Pin data where it must live, serve users from the nearest healthy region, and fail over automatically when the unexpected happens.
Proven starting points that deliver value in weeks, not quarters.
Spot scratches, misalignments and contamination at line speed.
Analyze vibration, temperature and power to schedule maintenance just in time.
Forecast demand and materials to cut inventory without risking shortages.
Tune parameters to raise yield and lower energy per unit.
Give operators instant answers from manuals, SOPs and maintenance history.
Track and reduce energy use across lines and sites.
Security is the foundation, not a feature. Every layer is encrypted, every action is logged and every identity is verified.
Zero-trust by default
Every request authenticated, authorised and encrypted.
Built to align with control frameworks
Straight answers from the team that runs the fabric. Still curious? Our architects reply fast.
Yes. Sovereign and air-gapped deployments keep sensitive production data inside your facilities while still benefiting from the platform.
Not to get started. Templates and the AI ops copilot help engineering teams launch their first models quickly.
Pipelines retrain on newly labeled images and roll out updated models with safe, automatic rollbacks.
Anything that produces images, sensor streams or logs can feed the platform through standard connectors and APIs.
Start with $600 in launch credit and 20M free inference tokens, double the typical big-cloud free trial. Deploy across global operations in minutes.
Double the typical big-cloud free trial · Per-second metering · Live in minutes